Gen AI Architect

HMG AMERICA LLC; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

HMG AMERICA LLC seeks an experienced Generative AI Architect (Level 4) to lead enterprise AI design and implementation. You will architect platforms using LLMs, RAG, and multi-agent systems across AWS/Azure/GCP, ensuring security, governance, and scale.

The role demands 10+ years in IT/AI with 3+ years in GenAI architecture, strong Python and framework skills, and excellent communication for client-facing work. Responsibilities include mentorship and architecture reviews.

Qualifications

• 10+ years IT experience with software engineering, cloud architecture or AI/ML.
• 3+ years hands-on Generative AI architecture experience.
• Strong Python and AI development framework experience.

Responsibilities

• Design and implement enterprise-grade Generative AI and Agentic AI solutions.
• Architect scalable AI platforms leveraging LLMs, RAG, and vector databases.
• Lead solution design using OpenAI, Claude, Gemini, Llama, and other foundation models.
• Develop AI architectures on AWS, Azure, or GCP with security and scalability.
• Define best practices for prompt engineering, governance, and Responsible AI.
• Collaborate with stakeholders to translate business requirements into AI solutions.
• Lead technical teams through architecture reviews and delivery.
• Establish MLOps/LLMOps for deployment, monitoring, and lifecycle management.
• Mentor AI engineers and development teams.

Skills

Generative AI

Python

AI development frameworks

Cloud architecture

Agentic AI

LangChain

RAG

Vector databases

MLOps/LLMOps

Leadership

Education

Bachelor's or Master's in Computer Science/AI/DS

Tools

LangChain

LangGraph

CrewAI

AutoGen

Job description

We are seeking an experienced Generative AI Architect (Level 4) to lead the design, architecture, and implementation of enterprise-scale AI solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), AI orchestration frameworks, and cloud-native architectures.

Key Responsibilities

• Design and implement enterprise-grade Generative AI and Agentic AI solutions.
• Architect scalable AI platforms leveraging LLMs, RAG, vector databases, and multi-agent systems.
• Lead solution design using OpenAI, Claude, Gemini, Llama, and other foundation models.
• Develop AI architectures on AWS, Azure, or GCP with a focus on security, scalability, and performance.
• Define best practices for prompt engineering, model evaluation, AI governance, and Responsible AI.
• Collaborate with business stakeholders to translate business requirements into AI-driven solutions.
• Lead technical teams through architecture reviews and solution delivery.
• Establish MLOps/LLMOps practices for deployment, monitoring, and model lifecycle management.
• Mentor AI engineers and development teams on GenAI technologies.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 10+ years of overall IT experience with software engineering, cloud architecture, or AI/ML.
• 3+ years of hands-on Generative AI architecture experience.
• Strong expertise in Python and AI development frameworks.
• Experience with:
  • LangChain, LangGraph, CrewAI, AutoGen
  • RAG architectures and Vector Databases (Pinecone, Weaviate, FAISS, ChromaDB)
  • Strong understanding of AI governance, security, compliance, and Responsible AI.
• Excellent communication and client-facing skills.

Preferred Qualifications

• Experience designing Agentic AI and multi-agent architectures.
• Knowledge of MCP (Model Context Protocol) and AI agent ecosystems.
• Experience with AI observability, evaluation frameworks, and guardrails.
• Consulting or customer-facing architecture experience.